MCP server for image/video understanding & generation (Gemini/OpenAI/Grok)
Connect Runs on your machine
claude mcp add imagine-mcp -e UNDERSTAND_MODELS=<UNDERSTAND_MODELS> -e GEMINI_API_KEY=<GEMINI_API_KEY> -e OPENAI_API_KEY=<OPENAI_API_KEY> -e XAI_API_KEY=<XAI_API_KEY> -- uvx imagine-mcp==1.11.6
{
"mcpServers": {
"imagine-mcp": {
"command": "uvx",
"args": [
"imagine-mcp==1.11.6"
],
"env": {
"UNDERSTAND_MODELS": "<UNDERSTAND_MODELS>",
"GEMINI_API_KEY": "<GEMINI_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>"
}
}
}
}
{
"mcpServers": {
"imagine-mcp": {
"command": "uvx",
"args": [
"imagine-mcp==1.11.6"
],
"env": {
"UNDERSTAND_MODELS": "<UNDERSTAND_MODELS>",
"GEMINI_API_KEY": "<GEMINI_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>"
}
}
}
}
{
"servers": {
"imagine-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"imagine-mcp==1.11.6"
],
"env": {
"UNDERSTAND_MODELS": "<UNDERSTAND_MODELS>",
"GEMINI_API_KEY": "<GEMINI_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>"
}
}
}
}
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools
This server runs locally, so its tools are listed by your MCP client once it starts.
Environment variables
| Name | Description |
|---|---|
UNDERSTAND_MODELSOptional | Ordered model chain for the understand path 'provider/model,...' (order = litellm fallback; provider inferred from the prefix). Empty = understand off (provider/tier catalog default). Generation stays provider/tier native. |
GEMINI_API_KEYOptional, secret | Google AI Studio API key (aistudio.google.com/apikey) |
OPENAI_API_KEYOptional, secret | OpenAI API key (platform.openai.com) |
XAI_API_KEYOptional, secret | xAI (Grok) API key (console.x.ai) |
Details
| Package | [email protected] (PYPI, stdio) |
| Package | docker.io/n24q02m/imagine-mcp:latest (OCI, stdio) |
| First published | 12 Sep 2026 |
| Last updated | 12 Sep 2026 |
| Registry name | io.github.n24q02m/imagine-mcp |
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